Opus 4.8 support has been updated in `v2.13.3`. Let us know if you face any issues.

We’re working with Termbench to get our submission verified. As part of the process, the team has agreed to take down our older submissions. SPOILER ALERT: Once verified, this will be our highest score yet, beating all our previous submissions!

I built the open source codex app! One of my favorite features is “Workspaces” - reusable multi-chat layouts you can save and switch between depending on the task. Built on top of @forgecodehq

Have a look at the leaderboard in terminal bench @forgecodehq really shining. Codex with gpt5.5 hits 82% whereas forgecode hits 81.80% with gpt5.4.

This is why ForgeCode invests heavily in prompt caching. In one workspace over the last 7 days on Opus 4.7 - 407M: input tokens - 382.9M: cache-read tokens - 98.1%: cache read ratio - 22.9×: write amortization Amortization = tokens read back per token written to cache. So every 1 token cached was reused ~23 times. At public API pricing, that’s ~$2,035 without caching vs ~$333 with 5-minute caching. ~$1.7K saved in input-token cost alone.

Is the real bottleneck for AI agents the model—or the harness? Terminal-Bench 2.0 suggests it might be the latter. ForgeCode ranks #1 among open-source harnesses, showing how much performance you can unlock without changing the model—just by improving how it uses tools. In ForgeCode’s case, the gains come from better tool orchestration and execution. Learn more: tensorlake.ai/blog/forgecode…

Days ago, I was checking out the once VERY relevant terminal bench. I kept seeing this Agent called @forgecodehq always in the top 5. Decided to try it and never looked back. It's now my daily ai-enhanced terminal. Feature packed, but not stuffed to the gills. I love it!

After 2 months our #1 rank on Termbench was finally broken by a worth competitor (by 0.2%) 🙌 If someone from @OpenAI can help us in getting unrestricted API access, that'd be great! We'd love to run to on @forgecodehq and share notes 😇

Configure a symbol conversion rate to display costs in your local currency. Useful if you need a more accurate sense of the real value of the work being produced.

Continuing our commitment to open-sourcing our TermBench improvements, we’re shipping another update. In `v2.8.0`, the `task` tool is now publicly available. `task` enables the main agent to delegate work to specialized, user-defined agents, keeping the context window focused and efficient. Example: hit a Rust compile error? Invoke a Rust-specific sub-agent to handle compiler runs, rules, and debugging in isolation. Enabled by default. github.com/antinomyhq/forgec…

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ForgeCode × Novita AI We’ve added Novita AI as a native provider inside ForgeCode. That means you can now run frontier open-source coding models directly in your terminal agent — no hacks, no wrappers. Get started We’ve put together a quick guide: 👉 forgecode.dev/blog/use-novit… Shoutout to the team at Novita AI for the collaboration 🤝

🚀 Excited to see ForgeCode @forgecodehq now supporting Novita AI as a built-in provider. Developers can now use frontier open-source coding models like Kimi-K2.5, GLM-5, and MiniMax-M2.5 directly inside their terminal workflow. No adapters. No workflow changes. Just: :login → choose Novita :model → pick your model start shipping ⚡ Why this matters: → terminal-native coding workflow → instant model switching across providers → context preserved across sessions → lower-cost coding workloads → pay only for what you use For developers living in Zsh, Warp, and terminal-native IDE workflows, this means faster agentic coding with better model economics. Full setup guide 👇 blogs.novita.ai/use-novita-a… Try it in your next coding session ⚡

Hey @claudeai code! Welcome to OSS 😇

Whomst do I know that uses @forgecodehq daily

Editing large prompts in the terminal can get messy. Use `:edit` to open the current prompt in your configured editor via `$EDITOR`

Rending `RPROMPT` will be 4x faster in the upcoming release. Currently it shows: 1. Current Agent 2. Selected Model 3. Context Window (used) 4. Cost in local currency (configurable)